Semantical-coordinate Terms Detection from Hierarchical Knowledge Using Web Snippets

AbstractIn this paper, we describe a method to detect semantical-coordinate terms. We often use semantical-coordinate terms as objects of comparative validation and examples for the given term, and then linguistic expressions and knowledge processing are enriched. Semantical-coordinate terms should be hyponyms of a same hypernym, and their usage and concepts should be similar. However hierarchical knowledge is useful to view concepts, hierarchically coordinate terms are sometimes inappropriate as semantical-coordinate terms for our suppositions, because some of them might have multiple hypernyms and general perceptions of the terms are not taken in the consideration. On the other hand, using only Web context to detect semantical-coordinate terms, concepts of the terms are not taken in the consideration while public perceptions and their usages might be incorporated. Therefore we propose hybrid method using both hierarchical knowledge and Web snippets. We conducted bench scale tests to detect semantical-coordinate terms of some terms and discuss about the results in this paper. Through the tests and discussions, we confirmed that the semantical-coordinate terms detected by our proposed method were not only hierarchically but also semantically and intuitively appropriate

Alternative-ingredient Recommendation Based on Co-occurrence Relation on Recipe Database

AbstractThis paper proposes a recommendation method of alternative-ingredients based on co-occurrence relation on recipe database. Currently, dishes are often cooked with reference to recipes on Website. Convenience to access so many and varied recipes encourages beginners to cook. Recipe on Website list ingredients used for a dish. However, for some reason, some of the listed ingredients cannot be used for the cooking; this paper defines such ingredient as “exchange-ingredient.” To cook a dish, it should alternate exchange-ingredient and another one (i.e., alternative-ingredient). This paper proposes two algorithms to recommend alternative-ingredient. Through the cooking and tasting experiments, it was confirmed that the each of the proposed methods were effective for each intended purpose

Onoma-to-wave: Environmental sound synthesis from onomatopoeic words

In this paper, we propose a framework for environmental sound synthesis from onomatopoeic words. As one way of expressing an environmental sound, we can use an onomatopoeic word, which is a character sequence for phonetically imitating a sound. An onomatopoeic word is effective for describing diverse sound features. Therefore, using onomatopoeic words for environmental sound synthesis will enable us to generate diverse environmental sounds. To generate diverse sounds, we propose a method based on a sequence-to-sequence framework for synthesizing environmental sounds from onomatopoeic words. We also propose a method of environmental sound synthesis using onomatopoeic words and sound event labels. The use of sound event labels in addition to onomatopoeic words enables us to capture each sound event's feature depending on the input sound event label. Our subjective experiments show that our proposed methods achieve higher diversity and naturalness than conventional methods using sound event labels

Dance Dance Gradation: A Generation of Fine-Tuned Dance Charts

Part 1: Full PapersInternational audienceThis paper proposes a system to automatically generate dance charts with fine-tuned difficulty levels: Dance Dance Gradation (DDG). The system learns the relationships between difficult and easy charts based on the deep neural network using a dataset of dance charts with different difficulty levels as the training data. The difficulty chart automatically would be adapted to easier charts through the learned model. As mixing multiple difficulty levels for the training data, the generated charts should have each characteristic of difficulty level. The user can obtain the charts with intermediate difficulty level between two different levels. Through the objective evaluation and the discussions for the output results, it was suggested that the proposed system generated the charts with each characteristic of the difficulty level in the training dataset